Bryan Kaiser, Tailin Wu, Maike Sonnewald, Colin Thackray, Skylar Callis
{"title":"A Moonshot for AI Oracles in the Sciences","authors":"Bryan Kaiser, Tailin Wu, Maike Sonnewald, Colin Thackray, Skylar Callis","doi":"arxiv-2406.17836","DOIUrl":null,"url":null,"abstract":"Nobel laureate Philip Anderson and Elihu Abrahams once stated that, \"even if\nmachines did contribute to normal science, we see no mechanism by which they\ncould create a Kuhnian revolution and thereby establish a new physical law.\" In\nthis Perspective, we draw upon insights from the philosophies of science and\nartificial intelligence (AI) to propose necessary conditions of precisely such\na mechanism for generating revolutionary mathematical theories. Recent\nadvancements in AI suggest that satisfying the proposed necessary conditions by\nmachines may be plausible; thus, our proposed necessary conditions also define\na moonshot challenge. We also propose a heuristic definition of the\nintelligibility of mathematical theories to accelerate the development of\nmachine theorists.","PeriodicalId":501462,"journal":{"name":"arXiv - MATH - History and Overview","volume":"47 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - MATH - History and Overview","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2406.17836","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Nobel laureate Philip Anderson and Elihu Abrahams once stated that, "even if
machines did contribute to normal science, we see no mechanism by which they
could create a Kuhnian revolution and thereby establish a new physical law." In
this Perspective, we draw upon insights from the philosophies of science and
artificial intelligence (AI) to propose necessary conditions of precisely such
a mechanism for generating revolutionary mathematical theories. Recent
advancements in AI suggest that satisfying the proposed necessary conditions by
machines may be plausible; thus, our proposed necessary conditions also define
a moonshot challenge. We also propose a heuristic definition of the
intelligibility of mathematical theories to accelerate the development of
machine theorists.